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Tencent/AI-Infra-Guard

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★ 6,184579 forksPython중국

AI 분석

•Tencent Zhuque Lab의 AI 보안 점검 플랫폼 → Agent·Skills·MCP·AI 인프라 취약점과 LLM 탈옥 위험 점검 지원
•단일 영역 스캐너보다 넓은 점검 범위가 특징 → 모델 바꿔치기·백도어 위험을 탐지하는 LLM API 오염 검사도 포함
•도입 전 탐지 정확도·오탐률 검증 필요 → 스캔 대상에 대한 권한 확보와 운영 환경 영향 확인 필수

A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

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출처
github.com
피드
GitHub 활발
수집/분석 기준
2026. 9. 8. 오전 9:00
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📖 Documentation |

🌐 🇨🇳 中文 · 🇯🇵 日本語 · 🇪🇸 Español · 🇩🇪 Deutsch · 🇫🇷 Français · 🇰🇷 한국어 · 🇧🇷 Português · 🇷🇺 Русский

🚀 AI Red Teaming Platform by Tencent Zhuque Lab

A.I.G (AI-Infra-Guard) integrates capabilities such as ClawScan(OpenClaw Security Scan), Agent Scan,AI infra vulnerability scan, MCP Server & Agent Skills scan, and Jailbreak Evaluation, aiming to provide users with the most comprehensive, intelligent, and user-friendly solution for AI security risk self-examination.

We are committed to making A.I.G(AI-Infra-Guard) the industry-leading AI red teaming platform. More stars help this project reach a wider audience, attracting more developers to contribute, which accelerates iteration and improvement. Your star is crucial to us!

## 📋 User Feedback Survey

Help us improve A.I.G! Please take 3-5 minutes to fill out our [User Feedback Survey](https://doc.weixin.qq.com/forms/AJEAIQdfAAoAFkA0QbdAFwCNcKSO0BFLf). Users who provide high-quality feedback and leave a valid email address will receive an exclusive Tencent souvenir gift.

## 🚀 What's New

•2026-08-26 · [v4.6.0](https://github.com/Tencent/AI-Infra-Guard/releases/tag/v4.6.0) — LLM API poisoning detection (multi-probe black-box audit for model substitution & backdoor risks); Agent-Scan v5.0.0 mutation engine refactor; vuln library expanded to 146 AI components & 2000+ CVE rules; MCP/Skill scan stability & compatibility fixes.
•2026-08-17 · [v4.5.2](https://github.com/Tencent/AI-Infra-Guard/releases/tag/v4.5.2) — Skill-Scan: .pyc bytecode bypass detection + charset smuggling defense; MCP-Scan: RCE prevention via tool whitelisting in dynamic mode; new SkillJack research project; vuln library expanded to 2000+ CVE rules.
•2026-07-30 · [v4.5.1](https://github.com/Tencent/AI-Infra-Guard/releases/tag/v4.5.1) — Jailbreak Evaluation: 4 multi-turn jailbreak attacks (Many-Shot, PAIR, GOAT, ActorAttack); Agent-Scan: 5 new OWASP skills + web-exfiltration detection (10 skills total); MCP-Scan: 4 new security rules
•2026-07-27 · [v4.5.0](https://github.com/Tencent/AI-Infra-Guard/releases/tag/v4.5.0) — AI Security Skill Market launched (3 official skills); frontend fully open-sourced; Skill scan engine upgraded (9 risk categories, SkillTrustBench top score 0.9848); Skill/MCP/Agent scan as standalone CLI; vuln library expanded to 130 components, 1888 rules
•2026-06-25 · [v4.1.15](https://github.com/Tencent/AI-Infra-Guard/releases/tag/v4.1.15) — MCP Scan: 3 new threat detection rules (tool poisoning, credential exfiltration, command injection); 6 new llama.cpp CVE rules; model.token now optional with system default fallback.

👉 [Earlier releases](./CHANGELOG.md) · 🛒 [AI Security Skill Market](https://matrix.tencent.com/skill-market/) · 🔍 [skill-scan CLI](https://github.com/Tencent/AI-Infra-Guard/tree/main/skill-scan) · 🔍 [mcp-scan CLI](https://github.com/Tencent/AI-Infra-Guard/tree/main/mcp-scan) · 🔍 [agent-scan CLI](https://github.com/Tencent/AI-Infra-Guard/tree/main/agent-scan) · 📊 [SkillTrustBench](https://matrix.tencent.com/skilltrustbench/)

## Table of Contents

•[🚀 Quick Start](#-quick-start)
•[✨ Features](#-features)
•[🖼️ Showcase](#-showcase)
•[📖 User Guide](#-user-guide)
•[🔧 API Documentation](#-api-documentation)
•[🏗️ Architecture Evolution](./docs/architecture_evolution.md)
•[📝 Contribution Guide](#-contribution-guide)
•[🛡️ About the Team](#️-about-the-team)
•[🙏 Acknowledgements](#-acknowledgements)
•[💬 Join the Community](#-join-the-community)
•[📖 Citation](#-citation)
•[📚 Research & Papers](#-research--papers)
•[⚖️ License & Attribution](#️-license--attribution)

## 🚀 Quick Start

### 🐳 Deploy A.I.G with Docker

DockerRAMDisk Space
20.10 or higher4GB+10GB+
# This method pulls pre-built images from Docker Hub for a faster start
git clone https://github.com/Tencent/AI-Infra-Guard.git
cd AI-Infra-Guard
# For Docker Compose V2+, replace 'docker-compose' with 'docker compose'
docker-compose -f docker-compose.images.yml up -d

Once the service is running, you can access the A.I.G web interface at:

http://localhost:8088

#### Use from OpenClaw

You can also call A.I.G directly from OpenClaw chat via the aig-scanner skill.

clawhub install aig-scanner

Then configure AIG_BASE_URL to point to your running A.I.G service.

For more details, see the [aig-scanner README](./skills/aig-scanner/README.md).

More installation options

### Other Installation Methods

Method 2: One-Click Install Script (Recommended)

# This method will automatically install Docker and launch A.I.G with one command
curl https://raw.githubusercontent.com/Tencent/AI-Infra-Guard/refs/heads/main/docker.sh | bash

Method 3: Build and run from source

git clone https://github.com/Tencent/AI-Infra-Guard.git
cd AI-Infra-Guard

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